Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 925 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.🎯 Kabir’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
2. 2.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
3. 3.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) paper and examples (d) a secret password
4. 4.⚖️ Two bird-song app models were tested on the same 50 bird songs. Model A got 39 right and Model B got 25 right. How many percentage points more accurate is Model A?
5. 5.📦 Meera collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
6. 6.📋 Planning an AI project: which comes first — try unseen examples or choose what to sort? (a) try unseen examples (b) choose what to sort
7. 7.🎯 Aarav’s fruit sorter was tested on 10 new fruit photos and got 9 right. What is its accuracy in percent?
8. 8.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
9. 9.🧪 What is accuracy? (a) correct ÷ total × 100 (b) total − correct (c) correct + total (d) total × 2
10. 10.🎯 Meera’s leaf identifier was tested on 20 new leaf photos and got 15 right. What is its accuracy in percent?
11. 11.❌ Ananya’s recycling sorter was tested on 37 new waste photos and got 32 right. How many did it get wrong?
12. 12.🎯 Arjun’s recycling sorter is 60% accurate. If it is tested on 30 new waste photos, how many should it get right?
13. 13.❌ Aarav’s handwriting reader was tested on 50 new handwritten letters and got 43 right. How many did it get wrong?
14. 14.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
15. 15.📦 Aarav collected 50 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
16. 16.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
17. 17.📋 Planning an AI project: which comes first — train the model or calculate percent right? (a) train the model (b) calculate percent right
18. 18.📦 Kabir collected 180 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
19. 19.📋 Planning an AI project: which comes first — gather many examples or improve data, retest? (a) gather many examples (b) improve data, retest
20. 20.❌ Aarav’s recycling sorter was tested on 21 new waste photos and got 14 right. How many did it get wrong?
21. 21.📦 Kabir collected 50 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
22. 22.❌ Aarav’s bird-song app was tested on 33 new bird songs and got 28 right. How many did it get wrong?
23. 23.🎯 Ishaan’s fruit sorter was tested on 25 new fruit photos and got 23 right. What is its accuracy in percent?
24. 24.📋 Planning an AI project: which comes first — calculate percent right or label each example? (a) calculate percent right (b) label each example
25. 25.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
26. 26.📦 Ananya collected 70 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
27. 27.🎯 Ananya’s spam spotter was tested on 5 new messages and got 3 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — recheck every label or choose what to sort? (a) recheck every label (b) choose what to sort
29. 29.📋 Planning an AI project: which comes first — recheck every label or test on new photos? (a) recheck every label (b) test on new photos
30. 30.🎯 Ishaan’s handwriting reader is 50% accurate. If it is tested on 80 new handwritten letters, how many should it get right?
31. 31.📦 Rohan collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
32. 32.📋 Planning an AI project: which comes first — gather many examples or choose what to sort? (a) gather many examples (b) choose what to sort
33. 33.📋 Planning an AI project: which comes first — gather many examples or set aside test photos? (a) gather many examples (b) set aside test photos
34. 34.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
35. 35.🎯 Nisha’s handwriting reader was tested on 10 new handwritten letters and got 6 right. What is its accuracy in percent?
36. 36.📋 Planning an AI project: which comes first — try unseen examples or calculate percent right? (a) try unseen examples (b) calculate percent right
37. 37.📦 Arjun collected 150 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
38. 38.📋 Planning an AI project: which comes first — correct bad labels or pick a question to solve? (a) correct bad labels (b) pick a question to solve
39. 39.📋 Planning an AI project: which comes first — pick a question to solve or improve data, retest? (a) pick a question to solve (b) improve data, retest
40. 40.🎯 Kabir’s spam spotter was tested on 10 new messages and got 8 right. What is its accuracy in percent?

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